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of 3 421
pro vyhledávání: '"A. Eghbal"'
This paper introduces a novel class of PICOD($t$) problems referred to as $g$-group complete-$S$ PICOD($t$) problems. It constructs a multi-stage achievability scheme to generate pliable index codes for group complete PICOD problems when $S = \{s\}$
Externí odkaz:
http://arxiv.org/abs/2405.07151
Large language models (LLMs) are often trained on extensive, temporally indiscriminate text corpora, reflecting the lack of datasets with temporal metadata. This approach is not aligned with the evolving nature of language. Conventional methods for c
Externí odkaz:
http://arxiv.org/abs/2404.18543
Autor:
Wolf, Lukas, Tuckute, Greta, Kotar, Klemen, Hosseini, Eghbal, Regev, Tamar, Wilcox, Ethan, Warstadt, Alex
Training on multiple modalities of input can augment the capabilities of a language model. Here, we ask whether such a training regime can improve the quality and efficiency of these systems as well. We focus on text--audio and introduce Whisbert, wh
Externí odkaz:
http://arxiv.org/abs/2312.02931
Autor:
Hosseini, Eghbal
In practical scenarios, addressing real-world challenges often entails the incorporation of diverse renewable energy sources, such as solar, energy storage systems, and greenhouse gas emissions. The core purpose of these interconnected systems is to
Externí odkaz:
http://arxiv.org/abs/2312.03776
Predicting upcoming events is critical to our ability to interact with our environment. Transformer models, trained on next-word prediction, appear to construct representations of linguistic input that can support diverse downstream tasks. But how do
Externí odkaz:
http://arxiv.org/abs/2311.04930
Autor:
Lee, Chungjae, Boonbandansook, Wirattawut, Akhlaghi, Vahid Eghbal, Dalmeijer, Kevin, Van Hentenryck, Pascal
The Autonomous Transfer Hub Network (ATHN) is one of the most promising ways to adapt self-driving trucks for the freight industry. These networks use autonomous trucks for the middle mile, while human drivers perform the first and last miles. This p
Externí odkaz:
http://arxiv.org/abs/2305.03191
Autor:
Dinu, Marius-Constantin, Holzleitner, Markus, Beck, Maximilian, Nguyen, Hoan Duc, Huber, Andrea, Eghbal-zadeh, Hamid, Moser, Bernhard A., Pereverzyev, Sergei, Hochreiter, Sepp, Zellinger, Werner
Publikováno v:
International Conference On Learning Representations (ICLR), https://openreview.net/forum?id=M95oDwJXayG, 2023
We study the problem of choosing algorithm hyper-parameters in unsupervised domain adaptation, i.e., with labeled data in a source domain and unlabeled data in a target domain, drawn from a different input distribution. We follow the strategy to comp
Externí odkaz:
http://arxiv.org/abs/2305.01281
Autor:
Ali Rastegar-Kashkouli, Azad Khaledi, Farzaneh Moammer, Mohammad Ghenaatpisheh Sanani, Mohammad Mahdi Heidari, Aynaz Foroughi Eghbal
Publikováno v:
Eurasian Journal of Medicine, Vol 56, Iss 3, Pp 189-198 (2024)
This study aimed to conduct a retrospective Middle East systematic review and meta-analysis on the prevalence and antibiotic susceptibility pattern for this microorganism isolated from cystic fibrosis patients. We searched MEDLINE, the Cochrane Libra
Externí odkaz:
https://doaj.org/article/90a0ed06c168412abea7f4a82895cd65
Natural disasters are highly complex and unpredictable. However, long-term planning and preparedness activities can help to mitigate the consequences and reduce the damage. For example, in cities with a high risk of flooding, appropriate roadway miti
Externí odkaz:
http://arxiv.org/abs/2302.07983
Autor:
Mohammad amin Firooznia, Mehran Rahimlou, Eghbal Sekhavati, Mohammadreza Motazedian, Reza Tabrizi
Publikováno v:
Frontiers in Nutrition, Vol 11 (2024)
IntroductionHypertension (HTN) is a prevalent condition associated with numerous cardiovascular and non-cardiac complications. Lifestyle interventions, including dietary adjustments, offer promising avenues for hypertension management. However, the p
Externí odkaz:
https://doaj.org/article/2d8a407dba4649d2b0f284113a96eb3c